本文整理汇总了Python中baselines.common.tf_util.numel方法的典型用法代码示例。如果您正苦于以下问题:Python tf_util.numel方法的具体用法?Python tf_util.numel怎么用?Python tf_util.numel使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类baselines.common.tf_util
的用法示例。
在下文中一共展示了tf_util.numel方法的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: flatten_grads
# 需要导入模块: from baselines.common import tf_util [as 别名]
# 或者: from baselines.common.tf_util import numel [as 别名]
def flatten_grads(var_list, grads):
"""Flattens a variables and their gradients.
"""
return tf.concat([tf.reshape(grad, [U.numel(v)])
for (v, grad) in zip(var_list, grads)], 0)
示例2: __init__
# 需要导入模块: from baselines.common import tf_util [as 别名]
# 或者: from baselines.common.tf_util import numel [as 别名]
def __init__(self, var_list, *, beta1=0.9, beta2=0.999, epsilon=1e-08, scale_grad_by_procs=True, comm=None):
self.var_list = var_list
self.beta1 = beta1
self.beta2 = beta2
self.epsilon = epsilon
self.scale_grad_by_procs = scale_grad_by_procs
size = sum(U.numel(v) for v in var_list)
self.m = np.zeros(size, 'float32')
self.v = np.zeros(size, 'float32')
self.t = 0
self.setfromflat = U.SetFromFlat(var_list)
self.getflat = U.GetFlat(var_list)
self.comm = MPI.COMM_WORLD if comm is None else comm
示例3: __init__
# 需要导入模块: from baselines.common import tf_util [as 别名]
# 或者: from baselines.common.tf_util import numel [as 别名]
def __init__(self, var_list, beta1=0.9, beta2=0.999, epsilon=1e-08, scale_grad_by_procs=True, comm=None):
self.var_list = var_list
self.beta1 = beta1
self.beta2 = beta2
self.epsilon = epsilon
self.scale_grad_by_procs = scale_grad_by_procs
size = sum(U.numel(v) for v in var_list)
self.m = np.zeros(size, 'float32')
self.v = np.zeros(size, 'float32')
self.t = 0
self.setfromflat = U.SetFromFlat(var_list)
self.getflat = U.GetFlat(var_list)
self.comm = MPI.COMM_WORLD if comm is None else comm
示例4: __init__
# 需要导入模块: from baselines.common import tf_util [as 别名]
# 或者: from baselines.common.tf_util import numel [as 别名]
def __init__(self, var_list, *, beta1=0.9, beta2=0.999, epsilon=1e-08, scale_grad_by_procs=True, comm=None):
self.var_list = var_list
self.beta1 = beta1
self.beta2 = beta2
self.epsilon = epsilon
self.scale_grad_by_procs = scale_grad_by_procs
size = sum(U.numel(v) for v in var_list)
self.m = np.zeros(size, 'float32')
self.v = np.zeros(size, 'float32')
self.t = 0
self.setfromflat = U.SetFromFlat(var_list)
self.getflat = U.GetFlat(var_list)
self.comm = MPI.COMM_WORLD if comm is None and MPI is not None else comm